Simon Fraser University

The stochastic inverse problem of determining probability structures on input parameters for a physics model corresponding to a given probability structure on the output of the model forms the core of scientific inference and engineering design. We...

The aim of this event is to offer graduate students in Statistics and Actuarial Science with an opportunity to attend a seminar with accessible talks providing them an introduction to active areas of research in the field. For three students from...

Compressive sensing (CS) is a general paradigm that enables us to measure objects (such as images, signals, or functions) by using a number of linear measurements proportional to their sparsity, i.e. to the minimal amount of information needed to...

Uncertainty Quantification (UQ) is an increasingly popular subject in computational science and engineering, that deals with assessing the impact on the PDE solution of the uncertainty on the coefficients of the same PDE. Coefficients here is a term...

BC UMSC will take place during the last week of April 2019 at Simon Fraser University (Burnaby Campus). This inaugural event will provide Mathematics and Statistics Undergraduates with an opportunity to showcase their research, expand their learning...

To understand the fluid dynamics of marine phenomena fluid-structure interaction problems must be solved. Challenges exist in developing analytical and numerical techniques to solve these complex flow problems with boundary conditions at fluid...

The purpose of this summer school is to introduce students in applied and computational mathematics to neural networks and deep learning. It will feature three days of lectures and hands-on tutorials, and be followed by a one-day workshop showcasing...

The Winter 2018 SFU/UBC Joint Seminar is the second of two seminars taking place in the 2017/2018 school year between the UBC department of Statistics and the SFU department of Statistics and Actuarial Science. It is intended to give graduate...

The talk will be devoted to a simple introduction to stochastic PDEs (SPDEs) driven by Wiener processes, including both forward and backward (in time) cases. Some motivations, as well as the duality relationship between forward and backward SPDEs...

We are faced with a flood of molecular and clinical data. We are measuring interactions between various bio-molecules in a cell that form large, complex systems. Patient omics datasets are also increasingly becoming available. These systems-level...